An iterative approach for the serial batching problem with parallel machines and job families

DOI10.1007/s10479-013-1339-yzbMath1271.90037OpenAlexW2056941963MaRDI QIDQ363588

Lars Mönch, Udo Buscher, Liji Shen

Publication date: 3 September 2013

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-013-1339-y

zbMATH Keywords

schedulingparallel machinesbatchingVNSfamily setups

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35)

Related Items (7)

Scheduling jobs on a single serial-batching machine with dynamic job arrivals and multiple job types ⋮ A hybrid MIP-based large neighborhood search heuristic for solving the machine reassignment problem ⋮ Learning-augmented heuristics for scheduling parallel serial-batch processing machines ⋮ Research on permutation flow shop scheduling problems with general position-dependent learning effects ⋮ Flow shop batching and scheduling with sequence-dependent setup times ⋮ A simultaneous and iterative approach for parallel machine scheduling with sequence-dependent family setups ⋮ A hybrid scheduling approach for a two-stage flexible flow shop with batch processing machines

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